BESO and SESO: Comparative Analysis of Spatial Structures Considering Self-Weight and Structural Reliability
Source abstract
Abstract
A comparative analysis between Bidirectional Evolutionary Structural Optimization (BESO) and Smoothing-ESO (SESO), simultaneously considering Reliability-Based Topology Optimization (RBTO) and the structure’s self-weight in the case of three-dimensional elasticity, is presented in this study. Due to the important role of the existence of uncertainties in making the structural design more realistic, geometry, volumetric fraction, modulus of elasticity, compliance, and loading are considered random variables with normal probability distribution. When adopting the First Order Reliability Method (FORM), the failure probability is calculated based on the reliability index. Furthermore, considering the influence of self-weight in problems involving large structures in civil engineering, especially in the case of bridges, this makes the optimal configuration more reliable for design. A series of examples are covered to validate the methods presented, showing their efficiency and robustness.
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Research context
OpenAlex topics: Topology Optimization in Engineering · Building Energy and Comfort Optimization · Probabilistic and Robust Engineering Design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mathematics, Federal Institute of Minas Gerais (IFMG), Betim 32677-764, MG, Brazil
Department of Geotechnical and Structural Engineering, The School of Engineering of the University of São Paulo (EPUSP), São Paulo 05508-010, SP, Brazil
Department of Civil Engineering, Federal University of Ouro Preto (UFOP), Ouro Preto 35400-000, MG, Brazil
Department of Civil Engineering, University of Tabriz, Tabriz 51666-16471, Iran
Funding
Instituto Federal de Educação Ciência e Tecnologia de Minas Gerais–IFMG, CNPq (National Council of Scientific and Technological Development)
References (32)
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